Artificial Intelligence & Machine Learning Group

The Artificial Intelligence and Machine Learning (AIML) group, led by Prof. Dr. Eirini Ntoutsi, researches and develops AI systems that are technically robust, resilient to biases, data imbalances, distribution shifts, adversarial attacks, and other real-world challenges, and societally responsible, with emphasis on fairness, explainability, and accountability.

Three fundamental questions drive our work: How can we build intelligent machines for the real world? Equally important, what kind of intelligence do we aspire to build? And, can AI exhibit creativity?

Our ongoing research includes:

  • Continuous learning over evolving data and data streams
  • Responsible AI with a focus on fairness-aware machine learning, explainable AI and (adversarial) robustness
  • Generative AI for enhancing data quality for AI and enabling novel solutions

Our applications span diverse domains, including education, agriculture, banking, and engineering.

We are part of Research Institute CODE for cybersecurity and smart data and the Department of Computer Science at the Bundeswehr University Munich (UniBwM). Previously, we have been working at the Freie Universität Berlin and Leibniz Universität Hannover/L3S Research Center.

News

24.10.2025

Our paper “A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective” was accepted at IEEE Big Data 2025. Congrats Siamak!

14.10.2025

Eirini gave a talk on The Multifaceted Nature of Bias in AI - Implications for Generalization, Fairness, and Robustness at the AI Fairness Cluster meeting in Brussels. (slides).

01.10.2025

Eirini gave a keynote on Bias and Fairness in AI - Current and future trends at CISUC in Coimbra, Portugal (slides).

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